Fuzzy Adaptive-Equivalent Consumption Minimization Strategy for a Parallel Hybrid Electric Vehicle. - Shuhan Wang; Xingshuai Huang; José María López; Xiangyang Xu; Peng Dong 002 (IEEE Access, 2019)

ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control. - Xingshuai Huang; Di Wu 044; Michael Jenkin; Benoit Boulet (CoRR, 2021)

Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL Approach. - Xingshuai Huang; Di Wu 044; Benoit Boulet (CoRR, 2023)

MetaProbformer for Charging Load Probabilistic Forecasting of Electric Vehicle Charging Stations. - Xingshuai Huang; Di Wu 044; Benoit Boulet (IEEE Trans. Intell. Transp. Syst., 2023)

Sample-Efficient Meta-RL for Traffic Signal Control. - Xingshuai Huang; Di Wu 044; Michael Jenkin; Benoit Boulet (CCECE, 2024)

Towards Enhanced Fairness and Sample Efficiency in Traffic Signal Control. - Xingshuai Huang; Di Wu 044; Michael Jenkin; Benoit Boulet (IROS, 2024)

Goal-Conditioned Data Augmentation for Offline Reinforcement Learning. - Xingshuai Huang; Di Wu 044; Benoit Boulet (Trans. Mach. Learn. Res., 2025)

DRDT3: Diffusion-Refined Decision Test-Time Training Model. - Xingshuai Huang; Di Wu 044; Benoit Boulet (CoRR, 2025)

Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures. - Parsa Omidi; Xingshuai Huang; Axel Laborieux; Bahareh Nikpour; Tianyu Shi; Armaghan Eshaghi (CoRR, 2025)